Displaying 6 results from an estimated 6 matches for "fcost".
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2018 Feb 11
2
Hausman test
...roblem with Hausman test. I am performing my analysis with these
commands:
> library(plm)
> data<-read.csv2("paolo.csv",header=TRUE)
> data<
pdata.frame(data,index=c("FIRM","YEAR"),drop.index=TRUE,row.names=TRUE)
>
RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+NGROWTH+TURN+GPROF+GPROF2
>
grun.fe<-plm(RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+NGROWTH+TURN+GPROF+GPROF2,data=data,model="within")
> grun.re
<-plm(RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+NGROWTH+TURN+GPROF+GPROF2,data=data,model="random"...
2018 Feb 11
1
Hausman test
...t; commands:
>>
>> > library(plm)
>> > data<-read.csv2("paolo.csv",header=TRUE)
>> > data<
>> pdata.frame(data,index=c("FIRM","YEAR"),drop.index=TRUE,row.names=TRUE)
>> >
>> RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+NGROWTH+TU
>> RN+GPROF+GPROF2
>> >
>> grun.fe<-plm(RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROW
>> TH+NGROWTH+TURN+GPROF+GPROF2,data=data,model="within")
>> > grun.re
>> <-plm(RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+NGRO...
2018 Feb 11
0
Hausman test
...ng my analysis with these
> commands:
>
> > library(plm)
> > data<-read.csv2("paolo.csv",header=TRUE)
> > data<
> pdata.frame(data,index=c("FIRM","YEAR"),drop.index=TRUE,row.names=TRUE)
> >
> RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+NGROWTH+
> TURN+GPROF+GPROF2
> >
> grun.fe<-plm(RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+
> PGROWTH+NGROWTH+TURN+GPROF+GPROF2,data=data,model="within")
> > grun.re
> <-plm(RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+
> NGROWTH+TURN+GPROF+GPR...
2008 Aug 05
1
optimize simultaneously two binomials inequalities using nlm( ) or optim( )
...ion[sample_n, p1], c]
&& betha >= CDF[BinomialDistribution[sample_n, p2], c]
&& 0 < alpha < alphamax && 0 < betha < bethamax
&& 1 < sample_n <= lot_Size && 0 <= c < lot_size
&& p1 < p2 < p2max ;
fcost = sample_n/lot_Size;
result = NMinimize[{fcost, restriction}, {sample_n, c, alpha, betha, p2max},
Method -> "NelderMead", AccuracyGoal -> 10];
/* Calling the function findOpt */
findOpt[p1=0.005, lot_size=1000, alphamax=0.05, bethamax =0.05, p2max =
0.04]
/* and I got the retur...
2008 Jul 21
0
optimize function help!!
...betha >= CDF[BinomialDistribution[sample_n, p2], c] &&
0 < alpha < alphamax && 0 < betha < bethamax &&
1 < sample_n <= lot_Size &&
0 <= c < amostra &&
p1 < p2 < p2max ;
fcost = sample_n/lot_Size;
result = NMinimize[{fcost, restriction}, {sample_n, c, alpha, betha,
p2max},
Method -> "NelderMead", AccuracyGoal -> 10];
example:
findOpt[0.005, 1000, 0.05, 0.05, 0.04] ==> and I got the return of
values of; "n", "c...
2008 Jul 29
0
optimize simultaneously two binomials inequalities using nlm
...ion[sample_n, p1], c]
&& betha >= CDF[BinomialDistribution[sample_n, p2], c]
&& 0 < alpha < alphamax && 0 < betha < bethamax
&& 1 < sample_n <= lot_Size && 0 <= c < lot_size
&& p1 < p2 < p2max ;
fcost = sample_n/lot_Size;
result = NMinimize[{fcost, restriction}, {sample_n, c, alpha, betha, p2max},
Method -> "NelderMead", AccuracyGoal -> 10];
/* Calling the function findOpt */
findOpt[p1=0.005, lot_size=1000, alphamax=0.05, bethamax =0.05, p2max =
0.04]
/* and I got the retur...